Healthcare

How a Leading Multi-Specialty Healthcare Provider Unified Clinical Data and Reduced Reporting Time by 80% Using Microsoft Fabric and Power BI

Built a Smart Hospital Analytics Platform using Microsoft Fabric and Power BI, reducing reporting time by 80% while enabling real-time healthcare insights.

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Built on Microsoft Fabric and Power BI, this Smart Hospital Analytics Platform unifies healthcare data, delivers AI-powered insights, and enables faster, more informed decisions across clinical and operational teams
0%
Faster reporting
0+
Data sources unified
0
Executive dashboards deployed
Use Cases
Process Automation
Industry
Healthcare
Project Type
Healthcare Analytics Platform Modernization
Scale of Operation
Operating multiple hospitals, outpatient clinics, diagnostic centers, pharmacies, and emergency departments with 30+ enterprise systems unified into a single analytics platform.
End Users
5,000+ clinicians, administrators, and executives
Service Provided
Power Platform Development
The Client Challenge

Business Process Challenges

A leading multi-specialty healthcare provider relied on disconnected systems for clinical, operational, and financial reporting. Data was spread across electronic health records (EHR), laboratory systems, pharmacy platforms, finance applications, and scheduling tools, making it difficult to obtain a unified view of hospital operations.

Manual reporting processes delayed executive decision-making, while fragmented data limited visibility into patient flow, bed occupancy, staffing, and clinical performance. The organization also needed predictive insights to improve resource planning, reduce readmission risks, and support data-driven healthcare decisions.

To modernize operations, the healthcare provider required a secure, scalable analytics platform capable of delivering real-time insights across all facilities.

Our Approach

Our Strategic Approach

Softree designed and implemented a centralized healthcare analytics platform using Microsoft Fabric, Fabric Lakehouse, Power BI, and Fabric Data Factory.

Data from multiple hospital systems was integrated into a governed Fabric Lakehouse through automated data pipelines. Data engineering processes standardized and transformed information before publishing semantic models for enterprise reporting.

Interactive Power BI dashboards delivered real-time operational visibility across executive KPIs, patient flow, financial performance, emergency departments, clinical quality, and bed occupancy.

The platform also incorporated AI-powered predictive analytics to forecast patient demand, estimate bed occupancy, and identify readmission risks, enabling hospital leadership to make proactive decisions.

Our Solution Architecture

How we delivered it.

PA
Power Apps
Integrated Power Apps layer in the solution architecture.
PA
Power Automate
Integrated Power Automate layer in the solution architecture.
D
Dataverse
Integrated Dataverse layer in the solution architecture.
PB
Power BI
Integrated Power BI layer in the solution architecture.
S
SharePoint
Integrated SharePoint layer in the solution architecture.
A
Azure
Integrated Azure layer in the solution architecture.
Visual Proof

Explore the Solution Through visuals

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The Outcome

What changed for the client.

The Smart Hospital Analytics Platform transformed fragmented reporting into a unified, enterprise-wide analytics ecosystem.

Key outcomes included:

  • Reduced reporting turnaround by 80%
  • Unified 30+ healthcare data sources
  • Delivered 6 executive dashboards
  • Established a 100% governed single source of truth
  • Improved resource planning and staffing decisions
  • Enhanced executive visibility through real-time dashboards
  • Enabled predictive healthcare analytics for future-ready decision-making

The solution created a scalable data foundation that supports ongoing digital transformation and future AI initiatives across the healthcare organization.

Results & Business Impact

The numbers behind the rollout.

01
Report generation
Same-day automated
02
Approval cycle
Under 4 hours
03
Data accuracy
99%+ governed
04
App deployment
8–12 weeks low-code
Reference Tech Stack

The full integration layer.

Power Apps
Power Automate
Dataverse
Power BI
SharePoint
Azure
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FAQ

Frequently asked questions.

Softree delivers custom solutions across AI and automation, Power Platform, SharePoint customization, full-stack web and SaaS engineering, and data analytics.
We combine modern software engineering standards, secure cloud configurations, pre-built accelerators, and agile delivery methodologies to produce governed, scalable applications.
Our agile delivery model typically produces scoped initial MVPs in 4 to 8 weeks, with comprehensive enterprise deployments completed in 10 to 12 weeks.
Yes. We design and build secure custom API gateways, REST connectors, and database bridges to ensure our custom solutions integrate seamlessly with your existing legacy infrastructure.

Build faster with a reliable offshore engineering partner.

Partner with Softree to accelerate product delivery, modernize enterprise systems, and scale with confidence.

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What we offer

Enterprise Integration
Cloud Architecture
AI & Automation
Microsoft Solutions
Offshore Engineering

Offices

  • Bengaluru

    11th Floor, Prestige Tech Park, Platina 2 · Outer Ring Rd, Kadubeesanahalli · Bengaluru, Karnataka 560087, India

  • Cuttack

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    San Francisco, CA 94108 · United States

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